| ADN2Golmon vs Kazuya | 55–65 | 45.83% |
| ADN2Golmon vs Jin | 47–71 | 39.83% |
| ADN2Golmon vs King | 39–54 | 41.94% |
| ADN2Golmon vs Steve | 45–40 | 52.94% |
| ADN2Golmon vs Reina | 31–44 | 41.33% |
| ADN2Golmon vs Hwoarang | 30–44 | 40.54% |
| ADN2Golmon vs Heihachi | 34–38 | 47.22% |
| ADN2Golmon vs Law | 32–34 | 48.48% |
| ADN2Golmon vs Fahkumram | 32–32 | 50.00% |
| ADN2Golmon vs Bryan | 29–34 | 46.03% |
| ADN2Golmon vs Armor King | 22–28 | 44.00% |
| ADN2Golmon vs Jun | 24–21 | 53.33% |
| ADN2Golmon vs Lili | 16–27 | 37.21% |
| ADN2Golmon vs Dragunov | 17–26 | 39.53% |
| ADN2Golmon vs Lee | 19–22 | 46.34% |
| ADN2Golmon vs Yoshimitsu | 17–22 | 43.59% |
| ADN2Golmon vs Xiaoyu | 18–21 | 46.15% |
| ADN2Golmon vs Paul | 9–27 | 25.00% |
| ADN2Golmon vs Asuka | 14–20 | 41.18% |
| ADN2Golmon vs Eddy | 16–18 | 47.06% |
| ADN2Golmon vs Alisa | 14–17 | 45.16% |
| ADN2Golmon vs Lars | 14–15 | 48.28% |
| ADN2Golmon vs Devil Jin | 14–14 | 50.00% |
| ADN2Golmon vs Azucena | 15–13 | 53.57% |
| ADN2Golmon vs Clive | 13–12 | 52.00% |
| ADN2Golmon vs Nina | 5–17 | 22.73% |
| ADN2Golmon vs Victor | 8–12 | 40.00% |
| ADN2Golmon vs Anna | 8–11 | 42.11% |
| ADN2Golmon vs Jack-8 | 4–14 | 22.22% |
| ADN2Golmon vs Claudio | 5–8 | 38.46% |
| ADN2Golmon vs Kuma | 4–8 | 33.33% |
| ADN2Golmon vs Raven | 7–5 | 58.33% |
| ADN2Golmon vs Lidia | 7–5 | 58.33% |
| ADN2Golmon vs Panda | 3–5 | 37.50% |
| ADN2Golmon vs Leroy | 1–7 | 12.50% |
| ADN2Golmon vs Feng | 4–3 | 57.14% |
| ADN2Golmon vs Leo | 3–4 | 42.86% |
| ADN2Golmon vs Zafina | 5–2 | 71.43% |
| ADN2Golmon vs Shaheen | 4–0 | 100.00% |
| ADN2Golmon vs Miary Zo | 2–2 | 50.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.